Data Loss Prevention (DLP) refers to a set of tools and processes used to ensure that sensitive data such as personally identifiable information (PII), payment card information (PCI), and intellectual property (IP) does not leave an organization’s controlled environment intentionally, unintentionally, or maliciously. It is designed to monitor, detect, and block the unauthorized transmission or leakage of sensitive data both within and outside an organization.

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Key Functions of DLP

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• Data Identification: DLP tools scan structured and unstructured data to identify sensitive information, such as credit card numbers, Social Security numbers, or confidential business information.
• Policy Enforcement: Once sensitive data is identified, DLP enforces rules to protect that data, either by blocking, encrypting, or logging the transmission of the data when policies are violated.
• Data in Use, in Motion, and at Rest
  • Data in Use: Refers to active data being processed by users or applications (e.g., copying data to USB drives).
  • Data in Motion: Refers to data being transmitted across networks, including emails, web traffic, and file transfers.
  • Data at Rest: Refers to stored data in databases, file systems, or cloud storage.
• Monitoring and Auditing: DLP systems continuously monitor and audit sensitive data flows to ensure compliance with regulations such as GDPR, HIPAA, and PCI-DSS.
• Incident Response: When a DLP system detects a potential violation, it triggers responses that can range from alerting administrators to automatically blocking the data transmission.

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dope.security CASB Neural DLP

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dope.security’s Data Loss Prevention (DLP) solution, CASB Neural, is a modern tool that leverages large language models (LLMs) to enhance the precision and accuracy of data protection in cloud environments. It scans cloud applications such as Google Workspace and Microsoft 365 to identify, classify, and monitor sensitive, publicly exposed files that contain Personally Identifiable Information (PII), Payment Card Information (PCI), Protected Health Information (PHI), and intellectual property.

Key Features

LLM-Powered Analysis: CASB Neural uses LLMs to understand the content of documents deeply, rather than relying on traditional pattern matching or regular expressions, reducing the number of false positives. This allows it to provide higher accuracy in detecting sensitive data​

Zero Configuration: It's a one-click setup. CASB Neural requires no pre-configuration or policy setup and instantly starts monitoring file-sharing activities​

Automatic Monitoring: It continuously tracks changes in shared files, alerting administrators to any data exposure risks and enabling quick actions to unshare or restrict access

CASB Neural is ideal for companies looking for an innovative, low-maintenance tool that can quickly identify and protect sensitive cloud-based data.

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Other Data Loss Prevention (DLP) Tools

1. Netskope DLP

Netskope's Data Loss Prevention (DLP) solution is part of its broader Secure Access Service Edge (SASE) platform, offering protection for sensitive data across cloud applications, web traffic, and SaaS environments. Netskope focuses on securing data both in transit and at rest while maintaining visibility into user activity.

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Pros of Netskope DLP

• Netskope is highly regarded for its deep integration with cloud applications like Office 365, Google Workspace, and Salesforce. It provides granular control and visibility into cloud environments, which is critical for preventing data leakage in cloud-based workflows​.
• Netskope offers detailed, real-time monitoring and control over data flows at the user, app, and activity level. It can distinguish between managed and unmanaged app instances, ensuring policies are enforced when needed​.
• It supports organizations in maintaining compliance with global regulatory standards such as GDPR, HIPAA, and PCI-DSS by identifying and protecting regulated data​.

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Cons of Netskope DLP

• Setting up granular policies requires deep expertise, which may increase the time needed for deployment and fine-tuning.
• Netskope’s DLP is considered an enterprise-level solution, which can be costly, especially considering the additional resources needed for configuration and management.
• May require extensive “tuning” to reduce false positives.

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2. Zscaler DLP

Zscaler’s Data Loss Prevention (DLP) solution is part of its Zero Trust Exchange platform, designed to prevent the leakage of sensitive data across all data traffic—whether it’s web, email, or cloud apps. Zscaler's DLP is a cloud-native solution that inspects all user traffic to ensure data protection without relying on traditional perimeter defenses.

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Pros of Zscaler DLP

• The solution is entirely cloud-based, making it scalable and easy to deploy for businesses with distributed workforces. It scales across multiple locations and users without needing on-premises hardware.
• Zscaler provides inline, real-time DLP enforcement, which helps prevent data breaches as they happen, rather than reacting after the fact.
• Zscaler allows administrators to tailor DLP rules and policies down to the individual user level, enabling more precise control over sensitive data handling.

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Cons of Zscaler DLP

• Setting up granular policies and ensuring smooth operation can be complex.
• Extensive configuration and tuning may be necessary to optimize performance and reduce false positives​.
• Zscaler’s pricing structure can become costly for organizations or those with global operations, particularly if the company’s traffic volume is high and spans multiple regions​.

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3. Fortinet FortiSASE

Fortinet’s Data Loss Prevention (DLP) is a core feature of its FortiGate Next-Generation Firewalls (NGFWs) and FortiSASE solutions, designed to prevent sensitive data from being lost, stolen, or misused.

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Pros of Fortinet FortiSASE

• Fortinet DLP offers robust protection across network, cloud, and endpoint traffic, integrated with FortiGuard AI, which continuously updates policies to detect new threats.
• It integrates with Fortinet’s wider suite of security tools, providing a unified security infrastructure and reducing gaps between systems.
• Create highly specific DLP rules and policies, to tailor the system to unique security and compliance needs.

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Cons of Fortinet FortiSASE

• Setting up and fine-tuning Fortinet’s DLP rules can be complex. Proper configuration may require expertise to prevent false positives or missed incidents.
• While Fortinet supports pattern matching and keyword detection, it may not offer the same level of deep data understanding (e.g., AI-based contextual analysis).
• For full protection across various channels (email, web, endpoint), additional Fortinet products may be needed, which could increase costs for smaller organizations.

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4. Cisco Umbrella DLP

Cisco Umbrella’s Data Loss Prevention (DLP) is part of its broader cloud security offering, designed to prevent sensitive data from leaving an organization through internet traffic. It integrates with Cisco’s Secure Internet Gateway (SIG) and Cloud Access Security Broker (CASB) to provide real-time visibility, policy enforcement, and protection against data breaches.

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Pros of Cisco Umbrella DLP

• Administrators can create custom DLP policies to monitor and block specific data types, such as PII, PCI, PHI, and intellectual property. 
• Cisco provides pre-built policies for common regulatory requirements like GDPR, HIPAA, and PCI-DSS. These can be customized or supplemented with additional policies based on an organization's specific needs.
• Integrates seamlessly with other Cisco security products, such as Cisco SecureX, AMP, and AnyConnect, to provide comprehensive threat intelligence and protection across the network.

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Cons of Cisco Umbrella DLP

• While protecting data in cloud environments and over the internet, Cisco Umbrella DLP may not provide as robust protection for on-premises environments or endpoints compared to specialized endpoint DLP solutions.
• Cisco Umbrella can be expensive for smaller organizations, especially when paired with other Cisco security tools in its ecosystem.
• For organizations with highly specific data protection needs, configuring custom DLP policies can be complex and may require expert administration.

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5. Palo Alto Prisma SASE

Palo Alto Networks’ Data Loss Prevention (DLP) solution is part of its Prisma Access and Prisma Cloud platforms, providing a cloud-native, comprehensive data security suite designed to protect sensitive information across multi-cloud, SaaS, and on-premise environments. The DLP solution is integrated within Palo Alto’s Prisma SASE architecture, offering protection through multiple layers of network and application security.

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Pros of Palo Alto Prisma SASE

• The DLP solution offers consistent protection across multi-cloud, SaaS, and on-prem environments, making it ideal for hybrid and complex infrastructures.
• Its advanced policy engine allows administrators to create detailed rules to manage and protect specific data types, ensuring consistent compliance 
• By incorporating user behavior analytics, it can detect insider threats and unusual patterns of data use, which helps prevent accidental or malicious data breaches.

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Cons of Palo Alto Prisma SASE

• For organizations with less mature IT departments, setting up and managing the system can be complex due to its extensive customization options and the integration of multiple security layers.
• Palo Alto’s DLP is expensive, especially when deployed with other Palo Alto products such as Prisma Cloud and Prisma Access, making it less suitable for small businesses or organizations with limited budgets.
• While the DLP solution integrates well within the Palo Alto ecosystem, organizations not already using Palo Alto’s products may face challenges integrating it with third-party solutions.

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6. Symantec DLP

Symantec DLP is an enterprise-grade solution designed to protect sensitive data across endpoints, networks, storage, and cloud environments. It helps organizations monitor, detect, and protect sensitive data, ensuring compliance with regulatory frameworks like GDPR, HIPAA, PCI-DSS, and SOX. 

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Pros of Symantec DLP

• Protection across a wide range of environments—on-premises, cloud, and hybrid—making it suitable for organizations with complex infrastructures.
• Pre-built templates for industry regulations, simplify deployment and help organizations comply with multiple data privacy laws.
• Designed to handle large, distributed organizations, ensuring that sensitive data is protected across global locations.

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Cons of Symantec DLP

• Some users find the UI to be less intuitive compared to newer DLP solutions, which could slow down incident response times
• Can be difficult to deploy and manage. It often requires skilled IT teams for implementation and maintenance, which can be a barrier for small to mid-sized organizations.
• The platform can be resource-heavy, requiring substantial infrastructure for deployment, especially in large organizations.

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7. Skyhigh Security DLP

Skyhigh Security (formerly McAfee) provides a comprehensive Data Loss Prevention (DLP) solution designed to protect sensitive data across cloud applications, web traffic, and endpoints, helping organizations prevent data breaches, enforce compliance, and maintain security in hybrid environments.

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Pros of Skyhigh Security DLP

• Good at protecting data in cloud environments, with deep integration into major cloud platforms and SaaS applications.
• Works in real time to prevent data breaches before they happen, with immediate enforcement of security policies.
• It offers detailed policy customization, which allows organizations to fine-tune DLP to meet their exact security needs

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Cons of Skyhigh Security DLP

• While highly customizable, the system may require significant configuration effort, especially for organizations with complex or unique data security needs.
• As with many Legacy DLP solutions, there can be a high rate of false positives, particularly when policies are too broad or not finely tuned.

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8. Cloudflare One DLP

Cloudflare’s Data Loss Prevention (DLP) feature is part of its broader Cloudflare One platform, designed to secure and protect data within a Zero Trust framework. The DLP component of Cloudflare One focuses on safeguarding sensitive information from being inadvertently or maliciously shared across the network, web applications, or cloud services.

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Pros of Cloudflare One DLP

• Cloudflare operates a global network of data centers, providing scalable DLP services even for remote users.
• It integrates well with other Cloudflare security services, such as Secure Web Gateway (SWG) and Zero Trust Network Access (ZTNA), providing unified protection.
• Cloudflare DLP is easy to deploy with a cloud-based architecture, requiring minimal infrastructure changes or complex configurations.

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Cons of Cloudflare One DLP

• Cloudflare’s DLP lacks some advanced features like deep data discovery across on-prem environments and extensive endpoint monitoring.
• Pricing for advanced security features, including DLP, can be costly, particularly for smaller organizations, and some essential features may not be available on lower tiers​
• While the DLP solution provides basic content inspection and data protection, it may not offer as advanced contextual understanding or AI-driven analysis as some more specialized DLP solutions.

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9. Forcepoint ONE DLP

Forcepoint ONE is a unified cloud service that provides Data Loss Prevention (DLP) capabilities, designed to protect sensitive data across cloud applications, web, and email. It integrates DLP into its Secure Access Service Edge (SASE) architecture to enforce policies that prevent data leaks while ensuring secure access to cloud and web resources.

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Pros of Forcepoint ONE DLP

• Forcepoint ONE provides fine-grained control over data policies, making it highly customizable for various industries and data sensitivity levels.
• The platform is built to work seamlessly in the cloud, providing continuous protection as data moves between on-premise systems and cloud applications.
• Forcepoint's DLP features are designed to meet compliance requirements, offering extensive reporting and data visibility.

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Cons of Forcepoint ONE DLP

• The initial setup and fine-tuning of policies can be complex, especially for organizations with a high volume of sensitive data. It may require dedicated expertise to manage efficiently.
• Forcepoint's DLP, particularly with its advanced AI and risk-adaptive features, can be resource-heavy and may require robust infrastructure.
• For small to medium-sized businesses, the cost of deploying and managing Forcepoint ONE can be relatively high compared to other DLP solutions.

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10. Proofpoint DLP

Proofpoint’s Data Loss Prevention (DLP) feature is designed to prevent sensitive data being leaked through email, cloud applications, and endpoints. The solution is part of its Information Protection platform, which integrates email, cloud, and endpoint security to offer comprehensive protection against data breaches.

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Pros of Proofpoint DLP

• Proofpoint is a leader in email security, making it ideal for organizations where email is a primary vector for data loss.
• It uses user behavior analytics to provide a deeper layer of security, detecting risky behavior before a breach occurs.
• It offers seamless integration with cloud apps and platforms, enabling organizations to monitor and secure data across cloud environments.

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Cons of Proofpoint DLP

• The advanced features and customization options may require more configuration and resources than smaller organizations are equipped to handle.
• As an enterprise-level solution, it can be expensive compared to other DLP solutions.
• While it excels in email and cloud security, organizations that require extensive on-premises data protection may find Proofpoint will come up short.

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Conclusion

These tools provide a range of DLP capabilities, from advanced real-time monitoring and control to integrations with third-party solutions. Their suitability depends on the complexity of your environment and your specific data protection needs. Still unsure about which DLP Tool to choose? Before making a decision, try dope.security for free today and experience a new standard in secure, efficient, and user-focused protection.

Want to talk to a rep? Book a demo.

dope.security sets itself apart with its innovative CASB Neural, a modern DLP tool that leverages large language models (LLMs) to enhance the precision and accuracy of data protection in cloud environments. Through SSO, it only takes a few clicks to scan cloud applications such as Google Workspace and Microsoft 365 to identify, classify, and monitor all sensitive, publicly exposed files. Try today and see what files are at risk in your organization.

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